// Copyright (c) 2023 Huawei Technologies Co., Ltd
// Copyright (c) 2019, Facebook CORPORATION.
// All rights reserved.
//
// Licensed under the BSD 3-Clause License  (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

#include "op_plugin/AclOpsInterface.h"
#include "op_plugin/OpApiInterface.h"
#include "op_plugin/utils/op_api_common.h"

namespace op_api {
using npu_preparation = at_npu::native::OpPreparation;

at::Tensor gelu_backward(const at::Tensor& grad, const at::Tensor& self) {
  DO_COMPATIBILITY(aclnnGeluBackward, acl_op::gelu_backward(grad, self));
  // calculate the output size
  auto output_size = op_infer::broadcast_ops_npu_output_size(grad, self);
  // dtype promotion
  auto output_dtype = at::native::result_type(grad, self);
  // construct the output tensor of the NPU
  at::Tensor grad_input = npu_preparation::apply_tensor_without_format(output_size,
                                                                       self.options().dtype(output_dtype));
  // dispatch hostAPI
  EXEC_NPU_CMD(aclnnGeluBackward, grad, self, grad_input);
  return grad_input;
}

} // namespace op_api
